logo Netzschleuder network catalog, repository, and centrifuge

github_developers — GitHub developer mutual followers (2019)

Description

A social network of developers on the software hosting platform GitHub, collected from its public API in June 2019 by B. Rozemberczki and collaborators (MUSAE study) for benchmarks of node embedding and classification methods. Nodes are developers who have starred at least 10 repositories, and an undirected edge connects two developers who follow each other (a mutual follower relationship). Each developer is labeled as a web or a machine learning developer, a label which the authors derived from the job title, and has a list of binary features extracted from the location, the starred repositories, the employer and the email address (only the indices of the features are given, not their meaning; 16 lists contain repeated indices, kept as given).

This network is unrelated to the github entry (users and the repositories they watched, from the GitHub contest of 2009).

The network has the following properties:

  • name: the GitHub user name.
  • is_ml: whether the developer is a machine learning developer (otherwise a web developer).
  • features: the indices of the developer's binary features.
Tags
Social Online Unweighted Metadata
Citation
  • B. Rozemberczki, C. Allen, and R. Sarkar, "Multi-scale attributed node embedding." Journal of Complex Networks 9(2), cnab014 (2021). 10.1093/comnet/cnab014 Sci-Hub
Upstream URL OK
https://snap.stanford.edu/data/github-social.html
https://github.com/benedekrozemberczki/datasets
Upstream license
MIT License, https://github.com/benedekrozemberczki/datasets/blob/3b19135105432cbca65765c1113b91c395ed9d44/LICENSE
Networks
Tip: hover over a column header for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
github_developers 37,700 289,003 15.33 80.79 135.25 13.17 -0.08 0.01 11 1.00 Undirected Unipartite name is_ml features 1.4 MiB 2.1 MiB 2.0 MiB 2.4 MiB